Data Scientist

Data Scientist

Full-Time 38000 - 57000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Create and improve predictive models to enhance customer experiences and drive business impact.
  • Company: Join Tesco Insurance & Money Services, a leader in making insurance better for everyone.
  • Benefits: Enjoy a competitive salary, generous pension, private medical insurance, and 7.2 weeks holiday.
  • Other info: Flexible working options available; we value work-life balance and inclusivity.
  • Why this job: Be part of a collaborative team that turns data into actionable insights for real-world impact.
  • Qualifications: Experience with Microsoft Fabric or Databricks and strong analytical skills are essential.

The predicted salary is between 38000 - 57000 £ per year.

Serving our customers, communities, and planet a little better every day.

  • Salary
  • Between £38,000 - £57,000 (DOE) + annual bonus & benefits
  • Work Level
  • 2
  • Location
  • Newcastle, Permanent
  • Office Attendance
  • Our hybrid working model gives you the best of both worlds - flexibility to work from home and valuable face-to-face time with colleagues.

This role typically requires 2 days per week onsite.

  • Closing Date
  • Applications close on 28th September at 5pm

Why this role?

We're looking for a Data Scientist to join our Operational Excellence team at Tesco Insurance & Money Services.

This is an exciting opportunity to join a growing data function within our Claims business, where you'll use advanced analytics and insight to solve complex problems, improve customer outcomes, and drive meaningful business impact.

If you're curious, innovative, and passionate about turning data into action, you'll thrive in our collaborative team environment while helping shape the future of our Claims operation.

  • What you’ll be doing
  • Creation, maintenance and the continuous improvement of our new predictive models within our claims department.
  • You'll need to apply data science techniques to model customer behaviours to drive better decision making, a better customer journey, improved business outcomes and cost controls.
  • Adherence to our governance framework to keep our data safe.
  • What we’re looking for (minimum criteria)
  • Previous experience working with Microsoft Fabric (or Databricks) to create and maintain AI/ML models
  • Experience working with large, complicated datasets.
  • An ability to manage own workload and re-prioritise when required.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills to share insights with technical and non-technical audiences.
  • And if you have any of these, even better
  • Experience within Financial Services, Banking, or a similarly regulated commercial environment is advantageous.

We welcome applications from everyone. If you're excited about this role but your experience doesn't align perfectly with every requirement, we'd still love to hear from you.

  • What’s in it for you
  • A generous pension, with up to 7.5% employer contribution, depending on what you put in.
  • Private Medical Insurance (WL2+) and virtual GP Service for you and your family
  • Performance related annual bonus.
  • 7.2 weeks holiday, with the opportunity to buy more.
  • Colleague Clubcard discount (10-15% + second card to share with someone else).
  • Enhanced parental leave.
  • Opportunities to Save and Buy as you earn.
  • A place to get on - take advantage of our ongoing learning opportunities to help you achieve the job and career you want.
  • Interviews

As a Disability Confident Employer (Level 2), we're committed to creating an accessible and supportive environment for all.

We offer reasonable adjustments throughout the recruitment process, including interviews, to ensure every candidate has a fair opportunity to succeed.

We also know the importance of balancing work with life's other commitments.

Please talk to us at interview about the flexibility you need, as we're committed to exploring part time and flexible working opportunities, at every level of the organisation.

Interviews are expected to be held shortly after closing date.

Don't miss out.

We're assessing applications throughout the recruitment process and may close this opportunity ahead of the closing date if we receive a high volume of applications.

Why Tesco Insurance and Money Services?

Seeing your impact all around you: there's no better feeling.

Lucky for us, we get to feel it all the time. Because whatever our role, we're helping our colleagues and serving our customers, communities and planet a little better every day.

We deal in the personal - from pet insurance for your best friend, and home insurance for peace of mind, to motor insurance for your dream car or travel money for that trip you've worked hard for.

Everything we do is about making things better.

Not just for others, but for you too.

It's why you'll get bags of choice and plenty of development.

It's why you'll always be heard and find balance that works for you.

It's why you'll feel totally at home in a place where everyone's welcome.

So, if you want a career where you can do good and feel good, you've found it.

Let's make everyday a little better.

Our story

Making Insurance and Money Services more rewarding and offering great value and choice - because we know little wins can make a big difference.

We began life in 1997 and now help more than 2 million customers protect what matters to them.

We want to deliver a helpful service in everything we do and to make life easier for our customers.

Our policies are really easy to manage online for our customers, but we know that being able to speak to our customer service staff when you need to is really important.

This is why our customer service centers are open seven days a week.

Delivering great customer service means having great people behind the scenes - people who understand our customers and are driven by doing the right thing for them.

We offer colleagues a place where they can feel totally at home in a place where everyone's welcome, where they can be part of a great team focused on making a real difference for our customers.

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Data Scientist employer: Tesco Insurance

Tesco Insurance and Money Services is an exceptional employer, offering a supportive work culture that prioritises employee well-being and development. With a generous benefits package including a strong pension contribution, private medical insurance, and extensive holiday allowances, employees can thrive both personally and professionally in the vibrant city of Edinburgh. The hybrid working model fosters flexibility while ensuring valuable collaboration, making it an ideal environment for those looking to make a meaningful impact in their careers.

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Contact Details:

Tesco Insurance Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tesco Insurance!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Tesco Insurance.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tesco Insurance.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Tesco Insurance, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist

Python
SQL
Communication Skills
Problem-Solving Skills
Automation
Data Quality Assurance
Data Governance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Tesco Insurance, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tesco Insurance. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Tesco Insurance

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tesco Insurance!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.